This repository contains the documentation of PyPSA-Earth including:
- hackathon material in folder
hackathon
(mandatory for beginners): it contains a 6-step introduction starting from the basics to learn PyPSA-Earth - sample notebooks to investigate the PyPSA-Earth repository in the folder
notebooks
- storage of documentation images in the folder
doc
-
Make sure to have installed the PyPSA-Earth package and environment available at this link
-
Open your terminal at the parent location where PyPSA-Earth has been installed. Type the following in your terminal to download the package from GitHub:
.../pypsa/earth/parent/folder % git clone https://github.com/pypsa-meets-earth/documentation.git
Expected experience level: Beginner
Duration hackathon: 3 hours
Duration extra DIY exercises: 5 hours
Slides and jupyter notebook examples are provided in the folder hackathon
. While there is a lot of theory and text, we always recommend to code & check out stuff where possible. Small examples also help you to "do rather than only observe".
- Full GitHub workflow exercise for a PyPSA-Earth contribution
- The architecture of PyPSA-Earth on GitHub
- Development tools, requirements and installation of PyPSA-Earth
- 3 ways of Snakemake executions and introduction to debugging
- Code-Dev story on efficient vs. poor code and the role of discord
- Guideline on "How to add to need regions to PyPSA-Earth"
- Wrap-up - Hackathon-slides.pdf
Aim: We provide a couple of links to efficient self-learning material
- Fundamentals of energy economics and energy systems, great open lecture materials from Tom Brown
- Unix-Shell, the Unix shell is fundamental to a wide range of advanced computing tasks, including high-performance computing
- Python Dojo, a series of Python videos for absolute beginners
- PyPSA examples, that help understanding what PyPSA does. Click on Binder at the PyPSA page opens the examples.
- Atlite examples, that help understanding what Atlite does. Requires to install Atlite and open Jupyter notebooks
- Snakemake tutorial, learn more about the powers of Snakemake
Useful packages to dive deeper into:
- Lukas Franken from Germany
- Davide Fioriti from Italy
- Matin Mahmood from United Kingdom
- Max Parzen from Germany
- Thomas Lesieur from France
- Jan Ohlenbusch from Germany
- Taco Niet from Canada
- Pierre McWhannel from Canada
- Mariana Rodríguez-Arce from Costa Rica
- Hana Elattar from Egypt
- Yerbol Akhmetov from Kazakhstan
- Kumbuso Joshua Nyoni from Zambia
- Gift Sichone from Zambia
- Chris Mambwe from Zambia
- Akshat Mittal from India
- Albert Chitandula from Zambia
- Albert Solà Vilalta from Spain
- Tommaso Ferrucci from Italy
The folder notebooks
contains useful notebooks to explore the data of PyPSA-Earth.
The notebooks are self-explanatory and the pypsa-earth
environment is needed to successfully run the examples.